Systems and methods for assessing sound within a vehicle using machine learning techniques
First Claim
1. A computer-based method for assessing sound within a vehicle to alert a driver of the vehicle to an approaching emergency services vehicle, the method performed using a sound analysis computing device comprising at least one processor in communication with at least one memory device, the method comprising:
- analyzing, based upon a pattern recognition machine learning algorithm, sound data associated with an emergency services vehicle siren to facilitate training the pattern recognition machine learning algorithm;
identifying, based upon the pattern recognition machine learning algorithm, a first characteristic associated with the emergency services vehicle siren;
receiving, from a client device disposed within the vehicle, sound data collected within the vehicle;
analyzing the sound data collected within the vehicle;
identifying, based upon the analyzing and in real time, a second characteristic associated with the sound data collected within the vehicle;
receiving, from an emergency dispatch system, an emergency dispatch signal;
determining, in response to receiving the emergency dispatch signal, a reduced matching threshold;
comparing the first characteristic to the second characteristic; and
determining, based upon the comparing, whether the first characteristic substantially matches the second characteristic within the reduced matching threshold to determine whether the emergency services vehicle is approaching the vehicle.
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Accused Products
Abstract
A computer system for assessing sound within a vehicle to alert a driver of the vehicle to an approaching emergency services vehicle includes a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (i) analyzing, based upon a machine learning algorithm, sound data associated with an emergency services vehicle siren; (ii) identifying, based upon the analyzing, a first characteristic associated with the emergency services vehicle siren; (iii) receiving, from a client device disposed within the vehicle, sound data collected within the vehicle; (iv) analyzing the sound data collected within the vehicle; (v) identifying, based upon the analyzing, a second characteristic associated with the sound data collected within the vehicle; (vi) comparing the first characteristic to the second characteristic; and (vii) determining, based upon the comparing, whether the first characteristic substantially matches the second characteristic to determine whether the emergency services vehicle is approaching the vehicle.
35 Citations
33 Claims
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1. A computer-based method for assessing sound within a vehicle to alert a driver of the vehicle to an approaching emergency services vehicle, the method performed using a sound analysis computing device comprising at least one processor in communication with at least one memory device, the method comprising:
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analyzing, based upon a pattern recognition machine learning algorithm, sound data associated with an emergency services vehicle siren to facilitate training the pattern recognition machine learning algorithm; identifying, based upon the pattern recognition machine learning algorithm, a first characteristic associated with the emergency services vehicle siren; receiving, from a client device disposed within the vehicle, sound data collected within the vehicle; analyzing the sound data collected within the vehicle; identifying, based upon the analyzing and in real time, a second characteristic associated with the sound data collected within the vehicle; receiving, from an emergency dispatch system, an emergency dispatch signal; determining, in response to receiving the emergency dispatch signal, a reduced matching threshold; comparing the first characteristic to the second characteristic; and determining, based upon the comparing, whether the first characteristic substantially matches the second characteristic within the reduced matching threshold to determine whether the emergency services vehicle is approaching the vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 33)
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11. A computer system for assessing sound within a vehicle to alert a driver of the vehicle to an approaching emergency services vehicle, the computer system comprising:
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a processor; and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising; analyzing based upon a pattern recognition machine learning algorithm, sound data associated with an emergency services vehicle siren to facilitate training the pattern recognition machine learning algorithm; identifying, based upon the pattern recognition machine learning algorithm, a first characteristic associated with the emergency services vehicle siren; receiving, from a client device disposed within the vehicle, sound data collected within the vehicle; analyzing the sound data collected within the vehicle; identifying, based upon the analyzing and in real time, a second characteristic associated with the sound data collected within the vehicle; receiving, from an emergency dispatch system, an emergency dispatch signal; determining, in response to receiving the emergency dispatch signal, a reduced matching threshold; comparing the first characteristic to the second characteristic; determining, based upon the comparing, whether the first characteristic substantially matches the second characteristic within the reduced matching threshold to determine whether the emergency services vehicle is approaching the vehicle. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A non-transitory computer readable medium that includes executable instructions for assessing sound within a vehicle to alert a driver of the vehicle to an approaching emergency services vehicle, wherein when executed by a sound analysis computing device comprising at least one processor in communication with at least one memory device, the computer executable instructions cause the sound analysis computing device to:
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analyze, based upon a pattern recognition machine learning algorithm, sound data associated with an emergency services vehicle siren to facilitate training the pattern recognition machine learning algorithm; identify, based upon the pattern recognition machine learning algorithm, a first characteristic associated with the emergency services vehicle siren; receive, from a client device disposed within the vehicle, sound data collected within the vehicle; analyze the sound data collected within the vehicle; identify, based upon the analyzing and in real time, a second characteristic associated with the sound data collected within the vehicle; receive, from an emergency dispatch system, an emergency dispatch signal; determine, in response to receiving the emergency dispatch signal, a reduced matching threshold; compare the first characteristic to the second characteristic; and determine, based upon the comparing, whether the first characteristic substantially matches the second characteristic within the reduced matching threshold to determine whether the emergency services vehicle is approaching the vehicle. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
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Specification